Triple
T5059568
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chinatown (Toronto) |
E113988
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Old Toronto |
E53654
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Old Toronto | Statement: [Chinatown (Toronto), partOf, Old Toronto]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Old Toronto Context triple: [Chinatown (Toronto), partOf, Old Toronto]
-
A.
Old Toronto
chosen
Old Toronto is the historic core and former municipality of Toronto, encompassing the city’s downtown and many of its oldest, most densely developed neighborhoods.
-
B.
New Toronto
New Toronto is a lakeside neighbourhood in the former city of Etobicoke, Toronto, known for its industrial heritage, waterfront parks, and residential streets along Lake Ontario.
-
C.
Downtown Toronto
Downtown Toronto is the city’s primary central business district and cultural core, known for its dense skyline, major attractions, and vibrant urban life.
-
D.
Midtown Toronto
Midtown Toronto is a central district of Toronto known for its mix of residential neighborhoods, historic landmarks, and vibrant commercial areas.
-
E.
Cabbagetown
Cabbagetown is a historic downtown Toronto neighborhood known for its well-preserved Victorian homes and strong community character.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69bd443c0c8c81908663b77afb28e165 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7453daac8190b2946702c6c4bd93 |
completed | March 20, 2026, 4:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bea49283f48190b5db5ad78f332f95 |
completed | March 21, 2026, 2 p.m. |
Created at: March 20, 2026, 1:38 p.m.